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#24 Evan Shellshear: Why Many Data Science & AI Projects Fail
00:41:17
#23 Richard Savoie: Solving the Hardest Problem in Logistics
00:41:59
#22 John Brandon Elam: Building a Decision Factory in Large Organizations
00:42:00
#21 Linda Crowe & Benjamin Baer: Building a Community for Decision Intelligence
00:41:26
#20 Dr. Vijay & Dr. Mike: Reflections from the First Innings
00:38:16
#19 Dr. Lorien Pratt: Decision Intelligence Defined
00:42:07
#18 Borja Menéndez and Zohar Strinka: Advent of OR & the Informs Analytics Framework
00:30:31
#17 Warren Powell & Adam DeJans Jr. : Bridging the Gap Between Theory & Practice
00:45:43
#16 Peyton Fry: Optimizing Healthcare Operations
00:37:23
#15 Zohar Strinka: Solving the Meta Problem
00:26:45
#14 Warren Lieberman: Revenue Optimization in Self-Storage
00:43:40
#13 Filippo Focacci: Constraint Programming & Decision Optimization
00:36:42
#12 Jon Petersen: Solving Urban Mobility Problems with Data
00:35:41
#11 Carolyn Mooney: DecisionOps, Testing, and Iterative Development
00:34:51
#10 Kartik Gada: Technology, Change, and Management
00:33:49
#9 Borja Menéndez: Making Planners into Super Heroes
00:37:55
#8 Ben Alamar: Business Lessons from Sports Analytics
00:40:06
#7 Peter Cacioppi: Real-Time Model Deployment
00:37:26
#6 Zahir Balaporia: The Politics of Data Science
00:36:50
#5. Ganesh Ramakrishna: Navigating the Startup Landscape
00:34:35
#4 Harley Davis: Combining LLMs with OR and Business Rules for Mission Critical Applications
00:30:19
#3. Laura Albert:  Thinking Big and Educating Differently
00:30:50
#2. Doug Gray:  Why Data Science Projects Fail
00:38:36
#1. Irv Lustig: Identifying and Mitigating AI Project Risk
00:39:56